NVIDIA B200 vs NVIDIA GB10 Comparison

Where Each One Wins

The benchmark data presents a starkly one-sided comparison. The NVIDIA B200 wins the only shared benchmark test, Geekbench OpenCL, with a score of 345,482 against the GB10's 120,137. That is a 187.6% advantage for the B200, an enormous gap that places the two products in entirely different performance classes.

The B200's single benchmark result places it at the 100th percentile among all GPUs in the database, meaning it outperforms every other recorded device. The GB10, by contrast, sits at the 95th percentile, which is still a strong result but clearly below the absolute top tier. The B200's average benchmark score of 345,482 is nearly three times the GB10's average of 117,393.

Where each product wins depends on the workload context. The B200 is the clear winner in raw compute throughput, as its OpenCL score demonstrates. It is designed for massive parallel processing, and the data confirms this positioning. The GB10, while far behind in raw score, holds advantages in specific areas that matter for different use cases. It has double the memory capacity at 128 GB versus 90 GB, a higher boost clock at 2418 MHz versus 1965 MHz, and a dramatically lower power envelope at 140 W versus 1000 W.

The GB10 also supports display output through a single HDMI port, while the B200 has no display outputs at all. This makes the GB10 suitable for workstation-style tasks where visual output is required, even if its raw compute capacity is lower. The B200 is a pure accelerator with no display functionality, optimized entirely for computation.

The wins are not evenly distributed because the two products target different segments. The B200 wins on absolute performance, memory bandwidth (4.10 TB/s versus 273.2 GB/s), and FP32 compute (74.45 TFLOPS versus 29.71 TFLOPS). The GB10 wins on power efficiency, memory capacity, physical size, and features like display output. In a strict benchmark comparison, the B200 dominates, but the GB10's design goals are different, and its advantages are real for its intended applications.

Architecture Differences

The two accelerators share a 5 nm TSMC manufacturing process and the Blackwell architectural family name, but they diverge significantly in implementation. The B200 uses the GB100 chip with the base Blackwell architecture. The GB10 uses the GB20B chip with a newer Blackwell 2.0 architecture, despite belonging to the same Server Blackwell generation.

Transistor counts reveal part of the scale difference. The B200 packs 104,000 million transistors onto its chip. The GB10's transistor count is listed as unknown, but its die size is recorded at 382 mm². The B200's die size is not recorded, but the transistor count alone indicates a much larger and more complex silicon implementation.

Clock speeds show an interesting inversion. The GB10 has a higher base clock of 1665 MHz versus the B200's 700 MHz, and a higher boost clock of 2418 MHz versus 1965 MHz. The GB10 compensates for its smaller architecture with higher clock speeds, while the B200 relies on massive parallel resources running at lower clocks.

The shading unit counts highlight the scale difference. The B200 has 18,944 shading units, while the GB10 has 6,144, a three-fold difference. Texture mapping units follow a similar pattern: 592 for the B200 versus 384 for the GB10. Interestingly, the GB10 has more raster output units, 48 versus 24 for the B200, and it also includes 48 ray tracing cores, while the B200 has no recorded RT cores. Tensor core counts are 592 for the B200 and 384 for the GB10.

Memory architecture differs fundamentally. The B200 uses 90 GB of HBM3e on a 4096-bit bus, delivering 4.10 TB/s of bandwidth. The GB10 uses 128 GB of LPDDR5X on a 256-bit bus, delivering 273.2 GB/s. The B200's memory bandwidth is roughly 15 times higher, but the GB10 offers 38 GB more capacity. The B200's memory clock is 2000 MHz with 8 Gbps effective, while the GB10 runs at 1067 MHz with 8.5 Gbps effective.

Compute rates also differ by data type. The B200 achieves 74.45 TFLOPS FP32 and 1,191.2 TFLOPS FP16 with a 16:1 ratio. The GB10 achieves 29.71 TFLOPS for both FP32 and FP16 with a 1:1 ratio. The B200's FP16 capability is enormous, but the GB10's balanced FP32 and FP16 rates suggest different workload priorities.

Pixel and texture rates reflect the architectural split. The GB10 has a higher pixel rate at 116.1 GPixel/s versus 47.16 GPixel/s for the B200, consistent with its higher ROPS count. The B200 has a higher texture rate at 1,163.3 GTexel/s versus 928.5 GTexel/s. Power consumption is dramatically different: 1000 W for the B200 and 140 W for the GB10. The B200 is an SXM module, while the GB10 is an IGP with no power connectors. Both use PCIe 5.0 x16 interfaces.

Head-to-Head Benchmarks

The only shared benchmark in the database is Geekbench OpenCL, and the results show a decisive B200 victory. The B200 scores 345,482, while the GB10 scores 120,137. The delta is 187.6%, meaning the B200 is nearly three times faster in this test.

Context from the nearest rivals clarifies what these scores mean. The B200's closest competitor is the NVIDIA B300 SXM6 AC, which scores 369,831, putting the B200 6.6% behind that newer part. The B200 leads the NVIDIA H200 NVL by 3.2% (334,891), the AMD Instinct MI300X by 8.6% (317,994), and the NVIDIA L40S by 16.8% (295,763). These deltas show that the B200 sits near the top of the data center accelerator hierarchy, slightly behind the B300 but ahead of the previous generation and AMD's flagship.

The GB10's rivals occupy a completely different performance tier. Its average score of 117,393 puts it 0.3% ahead of the NVIDIA RTX 4000 SFF Ada Generation (117,088), 1.3% behind the AMD Radeon PRO W7700 (118,976), 2.6% ahead of the NVIDIA Tesla V100 SXM2 16 GB (114,395), and 3.0% ahead of the NVIDIA RTX A5500 Mobile (113,944). These are workstation and professional GPU competitors, not data center accelerators.

The GB10's Geekbench Vulkan score of 114,648 is not shared with the B200, since the B200 has no recorded Vulkan result. This score is consistent with the GB10's OpenCL result, reinforcing its position in the workstation tier.

The gap between the two products is not a small margin. A 187.6% delta in OpenCL performance means the B200 completes compute workloads in roughly one-third of the time required by the GB10. For applications that scale with raw compute throughput, that difference is transformative. The GB10's advantages in memory capacity and power draw do not appear in the OpenCL score, which measures pure compute throughput.

The Verdict

The data supports a clear separation of roles. The B200 is the choice when absolute compute performance is the priority. Its 100th percentile ranking, 345,482 OpenCL score, and 187.6% lead over the GB10 in the shared benchmark make it the superior accelerator for compute-intensive workloads. The B200 also offers substantially higher FP32 throughput at 74.45 TFLOPS versus 29.71 TFLOPS, and its FP16 capability at 1,191.2 TFLOPS is in a different class entirely.

The GB10 is the choice when power efficiency, memory capacity, and physical footprint matter more than raw compute. Its 140 W power draw is a fraction of the B200's 1000 W requirement, and its 128 GB of memory exceeds the B200's 90 GB. The GB10's 95th percentile ranking still places it above nearly all recorded GPUs, and its nearest rivals are professional workstation cards rather than data center accelerators. The GB10's 1:1 FP16 to FP32 ratio at 29.71 TFLOPS each indicates balanced compute for mixed workloads.

For a server environment with unlimited power and cooling, the B200 is the obvious choice. For a compact workstation or edge deployment where power is constrained and 128 GB of memory is needed, the GB10 is the only viable option between the two. The GB10 also supports display output via HDMI, making it usable in interactive settings, while the B200 has no display outputs.

The B200's nearest rivals show it is not the absolute fastest accelerator in the database, since the B300 SXM6 AC leads it by 6.6%. But the B200 is firmly ahead of the H200 NVL, MI300X, and L40S. The GB10's position among workstation GPUs means it should not be compared directly to data center accelerators on raw performance. The GB10 is a capable workstation part that happens to share the Blackwell name with a far more powerful sibling.

Pick the B200 for maximum throughput. Pick the GB10 for efficiency, capacity, and flexibility. The benchmark data does not suggest any scenario where the GB10 outperforms the B200 in compute, but the GB10's other attributes make it the right tool for different jobs.

FAQ

Q: Which GPU has the higher Geekbench OpenCL score?

A: The NVIDIA B200 scores 345,482, while the NVIDIA GB10 scores 120,137. The B200 leads by 187.6% in this test.

Q: How much memory does each GPU have?

A: The B200 has 90 GB of HBM3e memory, while the GB10 has 128 GB of LPDDR5X memory. The GB10 has 38 GB more capacity, but the B200 has far higher memory bandwidth at 4.10 TB/s versus 273.2 GB/s.

Q: What are the power requirements for each GPU?

A: The B200 has a TDP of 1000 W with a suggested PSU of 1400 W. The GB10 has a TDP of 140 W with a suggested PSU of 300 W. The GB10 uses no power connectors, while the B200 is an SXM module.

Q: Does the GB10 support display output?

A: Yes, the GB10 has one HDMI output. The B200 has no display outputs at all, making it a pure compute accelerator.

Q: How does the B200 compare to its nearest rivals?

A: The B200 is 3.2% ahead of the NVIDIA H200 NVL, 8.6% ahead of the AMD Instinct MI300X, and 16.8% ahead of the NVIDIA L40S. It is 6.6% behind the NVIDIA B300 SXM6 AC.

Q: What is the GB10's position among its nearest rivals?

A: The GB10 is 0.3% ahead of the NVIDIA RTX 4000 SFF Ada Generation, 2.6% ahead of the NVIDIA Tesla V100 SXM2 16 GB, and 3.0% ahead of the NVIDIA RTX A5500 Mobile. It is 1.3% behind the AMD Radeon PRO W7700.